
Explore effective social engineering awareness programs and learn to create internal phishing simulations to measure and improve organizational security against human-targeted attacks.

Explore enterprise-wide multi-factor authentication deployment, focusing on passwordless solutions for secure, flexible access across devices and work scenarios. Learn technical challenges and user experience considerations.

Experienced pentesters share diverse paths to cybersecurity careers, offering insights on certifications, education, networking, and practical skills for aspiring security professionals.

Insightful keynote address exploring cutting-edge cybersecurity trends, challenges, and innovations in the rapidly evolving digital landscape.

Explore innovative malware clustering techniques using static and dynamic behavior analysis, machine learning, and similarity search for robust, scalable, and repeatable results.

Exploring IOT security flaws in garage door systems, from discovery to responsible disclosure. Learn about research techniques and the process of addressing vulnerabilities in connected devices.

Explore defensive deception strategies for web applications, including tools and techniques to detect, confuse, and corral attackers. Learn to plan, execute, and monitor effective deception in cybersecurity.

Explore empathy's role in vulnerability disclosure, focusing on cross-functional collaboration, customer-centric decision-making, and building trust through effective communication in software security.

Explore novel frameworks for safe attack response in autonomous robotic vehicles, enabling mission continuation despite malicious interventions through feed-forward control and sensor isolation techniques.

Exploring burnout and Post-COVID Stress Disorder in cybersecurity teams, discussing impacts on mental health, company structure, and offering solutions for support in the post-pandemic era.

Explores privacy risks in machine learning, including data extraction from models, membership inference attacks, and tools for auditing privacy. Discusses implications for AI regulations and privacy-by-design approaches.

Explore the evolving landscape of online threats, focusing on hate and harassment. Learn about different attack types, their prevalence, and gaps in current protections to better address these challenges.

Exploring bug bounty programs' potential for addressing algorithmic harms, analyzing design levers, tradeoffs, and recent trends in expanding these programs to socio-technical issues.

Exploring the lack of standardized security testing for AI systems in critical sectors, contrasting with rigorous certifications for everyday appliances and traditional software.

Explores machine learning methods to expose influence tactics in online deceptive content, aiming to improve human detection of phishing, disinformation, and deceptive ads.

Explore the implementation of differential privacy for the 2020 US Census, including technical challenges, organizational hurdles, and the development of innovative algorithms to protect respondent privacy.

Exploring intimate gender-based digital violence in the Global South, focusing on Latin America. Examines abuser methods, societal factors, and lack of legal support, highlighting the need for global perspectives on online abuse.

Exploring the fundamental laws governing cyberspace dynamics through statistical physics and dynamical systems theory, with insights from hardware architectures and operating systems.

Explores computational methods to understand and mitigate coordinated online aggression, focusing on hate attacks against YouTube creators and Zoom bombing incidents, while discussing challenges in developing effective countermeasures.

Comprehensive analysis of election security vulnerabilities and solutions, covering voting infrastructure, campaign protection, and public confidence. Explores technical measures and collaborative efforts to safeguard electoral processes.

Explore privacy challenges and solutions in contact tracing apps, focusing on end-to-end protection within complex ecosystems and overcoming obstacles in real-world implementation.